A Framework of Automatic Clustering and Tracking for Time-Variant Multipath Components

作     者：Wang, Qi Ai, Bo He, Ruisi Guan, Ke Li, Yan Zhong, Zhangdui Shi, Guowei 

作者机构：Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China China Acad Telecommun Res Beijing 100083 Peoples R China 

出 版 物：《IEEE COMMUNICATIONS LETTERS》 (IEEE Commun Lett)

年 卷 期：2017年第21卷第4期

页      面：953-956页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：National 863 Project [2014AA01A706] Key Project of Beijing Science and Technology Commission [D151100000115004] Natural Science Foundation of China [U1334202] Natural Science Base Research Plan in Shaanxi Province of China [2015JM6320] NNSF of China [61501020, 61501021] Fundamental Research Funds for the Central Universities [2016JBM075, 2016JBZ006] China Postdoctoral Science Foundation [2016M591355] State Key Laboratory of Rail Traffic Control and Safety [RCS2016ZJ005] 

主　　题：Clustering algorithm tracking algorithm time-variant channels 

摘      要：A framework of automatic clustering and tracking algorithm is proposed for the multipath components (MPCs) in time-variant radio channels. The algorithm is based on the channel dynamics in time domain and is able to reflect the birth and death behaviors of MPCs naturally. The proposed algorithm is validated by a ray-tracer and the spatial channel model extension simulations. Compared with other existing clustering algorithms, the proposed framework is able to cluster the timevarying MPCs and track the clusters with high accuracy and low complexity.